Personality Computing (PC) is a burgeoning field at the intersection of personality and computer science that seeks to extract personality-relevant information (e.g., on Big Five trait levels) from sensor-assessed information (e.g., written texts, digital footprints, smartphone usage, non-verbal behavior, speech patterns, game-play, etc.). Such sensor-based personality assessment promises novel and often technologically sophisticated ways to unobtrusively measure individual differences in a highly precise, granular, and faking-resistant manner. We review the different conceptual underpinnings of PC; survey how well different types of sensors can capture different types of personality-relevant information; discuss the evaluation of PC performance and psychometric issues (reliability and validity) of sensor-derived scores as well as ethical, legal, and societal implications; and highlight how modern personality and computer science can be married more effectively to provide practically useful personality assessment. Together, this review aims to introduce readers to the opportunities, challenges, pitfalls, and implications of PC.

中文翻译：

---

个性计算：个性评估的新领域

个性计算 (PC) 是个性与计算机科学交叉领域的一个新兴领域，旨在从传感器评估信息（例如书面文本、数字足迹、智能手机使用情况）中提取与个性相关的信息（例如，在五大特征水平上） 、非语言行为、言语模式、游戏玩法等）。这种基于传感器的人格评估有望提供新颖且技术复杂的方法，以高度精确、细粒度和防伪的方式不显眼地测量个体差异。我们回顾了 PC 的不同概念基础；调查不同类型的传感器如何捕捉不同类型的个性相关信息；讨论 PC 性能的评估和传感器衍生分数的心理测量问题（可靠性和有效性）以及道德、法律、和社会影响；并强调现代人格和计算机科学如何更有效地结合以提供实用的人格评估。总之，这篇评论旨在向读者介绍 PC 的机遇、挑战、陷阱和影响。